Application of Principal Component Analysis and Artificial Neural Network on Ultrasonographic Parameters for Fetal Weight Estimation
博士 === 國立成功大學 === 生物醫學工程學系 === 101 === For obstetrics, prenatal assessment of fetal weight and growth is paramount. Accurate estimated fetal weight (EFW) is the principal way to measure and monitor fetal growth in utero, and thereby assist the management of delivery. EFW is an important and reliable...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/3bwmj5 |